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Monotone chain, a.k.a. Andrew's algorithm — O(n log n) Published in 1979 by A. M. Andrew. The algorithm can be seen as a variant of Graham scan which sorts the points lexicographically by their coordinates. When the input is already sorted, the algorithm takes O(n) time. Incremental convex hull algorithm — O(n log n) Published in 1984 by ...
The first algorithm of this type was Fredman and Willard's fusion tree sorting algorithm, which runs in time O(n log n / log log n); this is an improvement over comparison sorting for any choice of K and w. An alternative version of their algorithm that includes the use of random numbers and integer division operations improves this to O(n √ ...
Karatsuba multiplication is an O(n log 2 3) ≈ O(n 1.585) divide and conquer algorithm, that uses recursion to merge together sub calculations. By rewriting the formula, one makes it possible to do sub calculations / recursion. By doing recursion, one can solve this in a fast manner.
The runtime complexity is O(n log n). In the worst case, its approximation ratio is similar – at most 7/6. However, in the average case it performs much better than the greedy algorithm: when numbers are distributed uniformly in [0,1], its approximation ratio is at most + / () in expectation. It also performs better in simulation experiments.
It has a O(n 2) time complexity, which makes it inefficient on large lists, and generally performs worse than the similar insertion sort. Selection sort is noted for its simplicity and has performance advantages over more complicated algorithms in certain situations, particularly where auxiliary memory is limited.
This step takes O(n), where n is the number of points in question. Next, the set of points must be sorted in increasing order of the angle they and the point P make with the x-axis. Any general-purpose sorting algorithm is appropriate for this, for example heapsort (which is O(n log n)). Sorting in order of angle does not require computing the ...
More abstractly, given an O(n) selection algorithm, one can use it to find the ideal pivot (the median) at every step of quicksort and thus produce a sorting algorithm with O(n log n) running time. Practical implementations of this variant are considerably slower on average, but they are of theoretical interest because they show an optimal ...